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evolution service

A few short years after 3G service brought us anytime, anywhere broadband-and before Apple rolled out its 3G iPhone-4G networks began raising the bar in select markets. This latest evolution in wireless networking offers faster wireless data transmission speeds, vastly superior coverage and support for a new generation of mobile applications and services.

This paper explores the impact of social media on the marketplace and customer behaviors, and provides a six-step “road map” that guides organizations through the process of implementing a social media program.

This paper examines both the centralized WLAN switch architecture and the optimized WLAN architecture, so that the wireless network choice an organization makes today will protect its investment and allow it to experience the substantial benefits of 802.11 for years to come.

The data center has gone through many major evolutionary changes over the past several decades, and each change has been defined by major shifts in architectures. The industry moved from the mainframe era to client/server computing and then to Internet computing. In 2011, another major shift began: the shift to a virtual data center. This has been the primary driver in enabling customers to transition to the cloud and ultimately IT as a service. The shift to a virtual data center will be the single biggest transition in the history of computing. It will reshape all the major data center tiers: applications, storage, servers and
the network.

Hosted PBX phone solutions are revolutionizing how small and medium-sized businesses (SMBs) serve their customers, grow their business, and support their employees. Delivering the same enterprise level, professional phone system capabilities large businesses use at a much lower cost, hosted PBX is helping SMBs save money while putting their customer services on par with much larger organizations.

Business evolution and technology advancements during the last decade have driven a sea change in the way data centers are funded, organized, and managed. Enterprises are now focusing on a profound digital transformation which is a continuous adjustment of technology management resources to deliver business results, guided by rapid review of desired outcomes related to end clients, resources, and budget constraints. These IT transitions are very much part of the competitive landscape, and executed correctly, they become competitive differentiators and enable bottom line growth. These outcomes are driving data centers to virtualization, service-oriented architectures, increased cybersecurity, “big data,” and “cloud,” to name a few of the key factors. This is completely rethinking and retooling the way enterprises handle the applications, data, security, and access that constitute their critical IT resources. In essence, cloud is the new IT.

Consumerization of IT and the Internet of Things (IoT) are revolutionizing how people live. Users are increasingly becoming accustomed to instant gratification when using technology in their personal lives, whether for gaming, shopping or managing their daily activities. And they want the same kind of immediate service when they go to work. To address this expectation, IT support needs to adapt, evolve and even revolutionize itself or become outdated. In short, IT support must reinvent itself into a friendly, proactive service that is tied directly to a business’ profitability.

With its new TriScale Technology, Citrix is enabling a genuine revolution for enterprise cloud networks by providing an unrivaled set of capabilities that smartly scale application and service delivery infrastructures, affordably and with no additional complexity.

With its new TriScale Technology, Citrix is enabling a genuine revolution for enterprise cloud networks by providing an unrivaled set of capabilities that smartly scale application and service delivery infrastructures, affordably and with no additional complexity.

Integrated Services Management, or ISM, is a major evolutionary force guiding management technology and practice progress in enterprises today. The implications of ISM are broad, but the essence of the initiative is a re-thinking of how IT delivers value to the organization it serves, and a re-framing of all IT contributions around the concept of services.

Consumers worldwide continue to adopt and use technology in their shopping experience.
Faced with rising customer expectations and increasing competitive pressures, retailers
now are prioritizing in-store innovation. Many retailers have adopted multichannel
implementations, in which mobile, web, and in-store shopping are enabled but not delivered
consistently to the customer. The next step in this evolution is an omnichannel strategy, now
being deployed by some retailers, which presents a consistent shopping experience across
mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end
infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty
programs, personalized recommendations, inventory management, etc.) to improve many
aspects of store and enterprise operations.
An omnichannel strategy relies on several core and supporting technologies. The key factors in
evaluating any omnichannel-enabling solution includ

Software development across industries is undergoing a constant revolution, driving toward more efficient processes, while data management is trapped with slow legacy systems. This deep dive outlines how Data as a Service transforms data from drag to driver.

Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making.
Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.

Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making.
Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.

Digital transformation has arrived, and it’s creating unprecedented opportunities for companies of all sizes to become market leaders through the evolution of business processes and the creation of new products and services. Organizations that master digital transformation will see a dramatic increase in revenues and profitability by converging people, processes and technologies; those that do not will struggle to survive. Evidence of this is clear to see by looking at the churn in the biggest
companies in the world. For example, a Capgemini study found that since 2000, 52% of the Fortune 500 has disappeared through acquisitions or bankruptcies. The study also found that digital organizations control 70% of market share in all industries today. Therefore, making the shift to a digital business must be a top initiative for IT and business leaders.
Download this whitepaper to see how Cisco has become the Market Share Leader in Online Meetings.

As you know, automation is a critical component in achieving long-term IT savings. We've compiled a few resources to give you an overview of the benefits of service automation and the technology behind our comprehensive solution.

This is a case study which shows how Voorhees College implemented a revolutionary communications solution based around a service-orientated Unified Communications architecture from NEC to provide students, faculty and staff in five locations with software-based voice and desktop communications tools to achieve a 40 percent savings over its previous traditional telephony solution.

To reach the customers of IT services, you have to abandon long-entrenched models of IT thinking & replace them with a customer-focused model that focuses on value, experience & context. Join the webinar to understand the issues internal customers face with IT, & see how IT can evolve from being the department of no to the department of now.

Server virtualization is revolutionizing the datacenter by making applications mobile, increasing application uptime, and allowing IT admins to allocate computing resources more efficiently. The technology has been deployed widely enough that the role of the computer server has evolved from directly hosting operating systems and applications to hosting fully virtualized environments. Server that can support more virtualized machines (VMs - complete application stacks) allow their users to gain higher return on their IT investments. Private Cloud can extend the virtualization benefits in ways that broaden the benefits of virtualization to all parts of the organization. In this white paper, you will learn how Corporate IT uses these tools to meet the increasing demand for IT services.

The digital service revolution is well underway. For communications service providers (CSPs), it means going beyond traditional voice and data and upgrading their entire digital communications infrastructure. Research shows enterprise-class organizations are allocating heavy dollars towards communications solutions and prefer a single provider for digital services. This is a massive opportunity for CSPs to expand their services, generate more revenue, grow profit and increase market share. However, the majority of enterprises reported not receiving a consistently excellent experience with their most recent service contract. As a result, many switch to new providers. CSPs are losing credibility and the loyalty of their customers because of legacy and traditional systems that constrain their ability to act quickly. Enterprises are looking for CSPs who understand their complex business and can offer a full portfolio of digital services with quality and creativity to meet their needs. Dow

The digital service revolution is well underway. For communications service providers (CSPs), it means going beyond traditional voice and data and upgrading their entire digital communications infrastructure. Research shows enterprise-class organizations are allocating heavy dollars towards communications solutions and prefer a single provider for digital services. This is a massive opportunity for CSPs to expand their services, generate more revenue, grow profit and increase market share. However, the majority of enterprises reported not receiving a consistently excellent experience with their most recent service contract. As a result, many switch to new providers. CSPs are losing credibility and the loyalty of their customers because of legacy and traditional systems that constrain their ability to act quickly. Enterprises are looking for CSPs who understand their complex business and can offer a full portfolio of digital services with quality and creativity to meet their needs.

There can be no doubt that the architecture for analytics has evolved
over its 25-30 year history. Many recent innovations have had significant
impacts on this architecture since the simple concept of a single
repository of data called a data warehouse. First, the data warehouse
appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the
traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had
a substantial effect on the analytical architecture.

There can be no doubt that the architecture for analytics has evolved
over its 25-30 year history. Many recent innovations have had significant
impacts on this architecture since the simple concept of a single
repository of data called a data warehouse. First, the data warehouse
appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the
traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had
a substantial effect on the analytical architecture.

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